Triple
T13876594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karamoja region |
E333598
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kaabong District |
E1002212
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kaabong District | Statement: [Karamoja region, contains, Kaabong District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaabong District Context triple: [Karamoja region, contains, Kaabong District]
-
A.
Kaabong District
chosen
Kaabong District is an administrative district in northeastern Uganda known for its remote, semi-arid landscape and predominantly pastoralist communities.
-
B.
Butambala District
Butambala District is a rural administrative district in central Uganda known for its predominantly agricultural economy and small trading centers.
-
C.
Monywa District
Monywa District is an administrative district in Myanmar’s Sagaing Region, centered around the city of Monywa and known for its agricultural economy and regional trade.
-
D.
Tembuku District
Tembuku District is an administrative district in the regency of Bangli on the island of Bali, Indonesia.
-
E.
Magu District
Magu District is an administrative district in northern Tanzania, located within the Mwanza Region along the southern shores of Lake Victoria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be556708190bbcf0b3583f677e3 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d72a17c8190b63f9f441731917d |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 9, 2026, 10:15 p.m.